Data Engineer II, Credit Reporting

Sezzle

. Own recurring credit bureau furnishing operations, including data preparation, validation, submissions, bureau feedback, exception resolution, and reconciliation .

Posted 11/2/2026full-timeRemote • MexicoMid-LevelSenior💰 $2,800 - $4,500 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in SQL and Python for data engineering, with a strong focus on credit bureau operations, data validation, and reporting accuracy. Proven ability to investigate discrepancies, implement automated solutions, and collaborate effectively with cross-functional teams.

Highest-signal resume keywords

Advanced SQL SkillsStrong Python SkillsData Pipeline OwnershipAutomated Testing ExperienceCredit Reporting Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData EngineeringData ValidationData ProfilingTroubleshootingAutomated TestingData ReconciliationDebuggingData Transformation

Soft Skills

Business JudgmentCommunication SkillsProblem-Solving

Tools & Technologies

Version ControlWorkflow Scheduling ToolsClaudeRedshiftPostgreSQLAWSDbtE-OSCAR

Industry Keywords

Credit ReportingConsumer LendingFinancial ServicesBankingFintechBNPL

Tech Stack

Tools & technologies

Amazon RedshiftAWSPostgresPythonSQL

About the role

Key responsibilities & impact

Own recurring credit bureau furnishing operations, including data preparation, validation, submissions, bureau feedback, exception resolution, and reconciliation
Build, maintain, and debug SQL transformations, Python scripts, and data pipelines producing credit reporting data
Trace discrepancies from account activity and source records through transformation logic to furnished outputs; identify root causes and implement lasting fixes
Investigate Customer Service escalations, explain account-data reporting outcomes under approved policies, and provide evidence for dispute responses
Identify accounts affected by reporting defects, implement corrections and controlled reprocessing, and verify reporting outcomes
Develop automated tests, reconciliations, monitoring, and alerts to detect inaccurate, incomplete, duplicate, or unexpected reporting
Partner with Engineering on production-service or consumer-app defects, providing reproducible examples, affected-account analysis, requirements, and fix validation
Work with Compliance to translate approved reporting requirements into technical rules and escalate ambiguous scenarios
Document reporting logic, data lineage, procedures, and incident resolutions

Requirements

What you’ll need

Degree in computer science, engineering, data science, or a related quantitative discipline
3+ years of relevant experience in data engineering or software engineering, including hands-on ownership of production data pipelines and operational workflows
Advanced SQL skills, including complex joins, account-level reconciliation, data profiling, and troubleshooting transformation logic
Strong Python skills, including reading unfamiliar code, debugging existing scripts, and implementing maintainable fixes
Ability to independently investigate ambiguous problems, prioritize recurring operations and incidents, and carry issues through to verified resolution
Experience with version control, code review, automated testing, monitoring, and safe deployment and reprocessing of data workflows
Track record of tracing data defects across systems and preventing recurrence
Strong business judgment and communication skills; ability to explain technical findings to Customer Service and Compliance and work effectively with Engineering
Fluent in English
Demonstrated experience working with Claude or equivalent large language model tools is required
Comfortable leveraging AI to enhance productivity, research, and communication
Preferred: experience with credit reporting dispute workflows, e-OSCAR, Metro 2 format, dbt, Redshift, PostgreSQL, AWS, workflow scheduling/orchestration tools, and consumer lending, servicing, payments, financial services, banking, fintech, or BNPL

Benefits

Comp & perks

Career advancement opportunities
Dynamic, fast-paced, high-growth work environment
Opportunity to work on a critical customer-facing data function
Cultural community including musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers